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weighted gene co-expression network analysis package  (RStudio)

 
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    RStudio weighted gene co-expression network analysis package
    Weighted Gene Co Expression Network Analysis Package, supplied by RStudio, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/weighted gene co-expression network analysis package/product/RStudio
    Average 90 stars, based on 1 article reviews
    weighted gene co-expression network analysis package - by Bioz Stars, 2026-06
    90/100 stars

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    weighted gene co-expression network analysis package  (RStudio)
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    The constructed gene co-expression modules of CRSwNP by <t>WGCNA</t> in R. (A) Gene-module tree diagram. Each branch represents one gene, and every color below represents one co-expression module. (B) Module-trait relationship diagram. 14 modules were generated; the MEgreen (RS = 0.53, P = 3e-06) and MEturquoise (RS = −0.74, P = 2e-13) modules were most significantly related to CRSwNP.
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    weighted gene co-expression network analysis package wgcna v1.49  (BioCloud Inc)
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    BioCloud Inc weighted gene co-expression network analysis package wgcna v1.49
    The constructed gene co-expression modules of CRSwNP by <t>WGCNA</t> in R. (A) Gene-module tree diagram. Each branch represents one gene, and every color below represents one co-expression module. (B) Module-trait relationship diagram. 14 modules were generated; the MEgreen (RS = 0.53, P = 3e-06) and MEturquoise (RS = −0.74, P = 2e-13) modules were most significantly related to CRSwNP.
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    The constructed gene co-expression modules of CRSwNP by WGCNA in R. (A) Gene-module tree diagram. Each branch represents one gene, and every color below represents one co-expression module. (B) Module-trait relationship diagram. 14 modules were generated; the MEgreen (RS = 0.53, P = 3e-06) and MEturquoise (RS = −0.74, P = 2e-13) modules were most significantly related to CRSwNP.

    Journal: Frontiers in Molecular Biosciences

    Article Title: Identification of hub genes and immune cell infiltration characteristics in chronic rhinosinusitis with nasal polyps: Bioinformatics analysis and experimental validation

    doi: 10.3389/fmolb.2022.843580

    Figure Lengend Snippet: The constructed gene co-expression modules of CRSwNP by WGCNA in R. (A) Gene-module tree diagram. Each branch represents one gene, and every color below represents one co-expression module. (B) Module-trait relationship diagram. 14 modules were generated; the MEgreen (RS = 0.53, P = 3e-06) and MEturquoise (RS = −0.74, P = 2e-13) modules were most significantly related to CRSwNP.

    Article Snippet: As a systematic bioinformatics analysis method, we used the Rstudio weighted gene co-expression network analysis (WGCNA) package ( https://cran.r-project.org/web/packages/WGCNA/ ) in WGCNA.

    Techniques: Construct, Expressing, Generated